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CSV tagged w Topics   Plain Text
Top keywords (global influence):
Top topics (local contexts):
Explore the main topics and terms outlined above or see them in the excerpts from this text below.
See the relevant data in context: click here to show the excerpts from this text that contain these topics below.
Tip: use the form below to save the most relevant keywords for this search query. Or start writing your content and see how it relates to the existing search queries and results.
Tip: here are the keyword queries that people search for but don't actually find in the search results.

Coronavirus Coronavirus disease (COVID-19) is an infectious disease caused by a newly discovered coronavirus. Most people infected with the COVID-19 virus will ... https://www.who.int/health-topics/coronavirus

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Coronavirus Disease 2019 (COVID-19) | CDC Coronavirus (COVID-19) Home Page. https://www.cdc.gov/coronavirus/2019-ncov/index.html

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Coronavirus Tax Relief and Economic Impact Payments | Internal ... We are offering help for individuals, families, businesses, tax-exempt organizations and others – including health plans – affected by coronavirus ( COVID-19). https://www.irs.gov/coronavirus-tax-relief-and-economic-impact-payments

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COVID Live Update: 177,405,393 Cases and 3,838,035 Deaths from ... Live statistics and coronavirus news tracking the number of confirmed cases, recovered patients, tests, and death toll due to the COVID-19 coronavirus from ... https://www.worldometers.info/coronavirus/?utm_campaign=homeAdvegas1?

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Coronavirus - Coronavirus COVID-19 Information & Resources for Athletics. For athletes choosing to play sports during this time, the Michigan Department of Health and Human Services ... https://www.michigan.gov/coronavirus/

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COVID-19 Map - Johns Hopkins Coronavirus Resource Center Coronavirus COVID-19 Global Cases by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU) https://coronavirus.jhu.edu/map.html

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COVID-19 | Ohio.gov ... to share COVID-19 cases, hospitalizations, deaths, current trends, key metrics, and vaccination data daily at coronavirus.ohio.gov. 926,387. Confirmed Cases. https://coronavirus.ohio.gov/wps/portal/gov/covid-19/home

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Connecticut COVID-19 Response Get the latest updates on COVID-19 at ct.gov/coronavirus. Find a vaccination site near you at ct.gov/covidvaccine. CT.gov Logo Connecticut's Official State Website . https://portal.ct.gov/coronavirus

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COVID-19 guidance & resources Review SBA's plan for use of covered funds provided through public laws: Coronavirus Aid, Relief, and Economic Security Act (CARES Act), the Paycheck ... https://www.sba.gov/page/covid-19-guidance-resources

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| coronavirus Mar 16, 2020 ... Coronavirus Homepage Welcome ... The DC Government urges you to help flatten the curve : Get Vaccinated; Practice social distancing; Wear a ... https://coronavirus.dc.gov/

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| coronavirus Mar 16, 2020 ... Coronavirus Homepage Welcome ... The DC Government urges you to help flatten the curve : Get Vaccinated; Practice social distancing; Wear a ... https://coronavirus.dc.gov/

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Government Response to Coronavirus, COVID-19 | USAGov Learn about the types of help the federal government offers for people and businesses affected by the COVID-19 pandemic. https://www.usa.gov/coronavirus

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Coronavirus Disease 2019 (COVID-19) A new coronavirus (2019-nCoV) was recently detected in Wuhan City, Hubei Province, China and is causing an outbreak of respiratory illness. The 2019- nCoV ... https://www.dshs.state.tx.us/coronavirus/

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Coronavirus News and updates about the coronavirus pandemic: Cases in the US, death toll, what you need to know about the virus, how to prepare, how to get tested. https://www.washingtonpost.com/coronavirus/

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Novel Coronavirus (COVID-19) | Department of Health Learn about New York State's vaccination program and get vaccinated! You can also find information on getting tested. https://coronavirus.health.ny.gov/home

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WHO Coronavirus (COVID-19) Dashboard World Health Organization Coronavirus disease situation dashboard presents official daily counts of COVID-19 cases and deaths worldwide, along with ... https://covid19.who.int/

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| Washington State Coronavirus Response (COVID-19) For testing inquiries or results, please contact your health care provider. You can also text the word "Coronavirus” to 211-211 to receive information and updates ... https://coronavirus.wa.gov/

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Coronavirus Disease 2019 (COVID-19) 2 days ago ... A new coronavirus (2019-nCoV) was recently detected in Wuhan City, Hubei Province, China and is causing an outbreak of respiratory illness. https://www.dshs.texas.gov/coronavirus/

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Coronavirus - Maryland Department of Health Visit the Maryland Department of Health's official resource for the Coronavirus Disease 2019 (COVID-19) outbreak. https://coronavirus.maryland.gov/

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Coronavirus in Pennsylvania About COVID. Want to know the basics about coronavirus? Below is important information about what the virus is, how it spreads, what symptoms look like ... https://www.health.pa.gov/topics/disease/coronavirus/Pages/Coronavirus.aspx

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Coronavirus Disease 2019 County of San Diego public health information on COVID-19. Case data, testing sites, health order, guidance on reopening and gatherings. https://www.sandiegocounty.gov/coronavirus.html

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Covid in the U.S.: Latest Map and Case Count - The New York Times Coronavirus in the U.S.: Latest Map and Case Count. Updated June 14, 2021. New reported cases. https://www.nytimes.com/interactive/2021/us/covid-cases.html

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coronavirus Novel Coronavirus, nCoV, infection, CDC, 2019-nCoV. https://rivcoph.org/coronavirus

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Coronavirus Resources | U.S. Department of Labor Watch coronavirus videos on Labor Department guidance and resources. covid icon Workplace Safety. Report a workplace safety issue at www.osha ... https://www.dol.gov/coronavirus

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Coronavirus Virginia.gov Cardinal An Agency of the Commonwealth of Virginia. Virginia.gov · Find an Agency. Skip to content. Coronavirus. Virginia Department of Health. https://www.vdh.virginia.gov/coronavirus/

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COVID-19 Media Page - LA County Department of Public Health The virus that causes COVID-19 is a novel coronavirus that was first identified during an investigation into an outbreak in Wuhan, China and is now infecting ... http://publichealth.lacounty.gov/media/coronavirus/

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Coronavirus & COVID-19 Overview: Symptoms, Risks, Prevention ... Apr 19, 2021 ... A coronavirus is a common virus that causes an infection in your nose, sinuses, or upper throat. COVID-19 is a novel strain of coronavirus that ... https://www.webmd.com/lung/coronavirus

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Coronavirus Disease 2019 (COVID-19) - NYC Health Vaccine. It has never been easier to get vaccinated against COVID-19 in NYC. People 12 and older can now go to vaccination sites citywide without an ... https://www1.nyc.gov/site/doh/covid/covid-19-main.page

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covid.ca.gov Official website for California Coronavirus (COVID-19) Response daily updates and resources. Stay home - save lives. Find information and services to help you ... https://covid19.ca.gov/

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Coronavirus Food Assistance Program | Farmers.gov USDA is implementing updates to the Coronavirus Food Assistance Program for producers of commodities marketed in 2020 who faced market disruptions due ... https://www.farmers.gov/pandemic-assistance/cfap

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Coronavirus - Delaware's Coronavirus Official Website Find the latest information about Delaware's response to the COVID-19 pandemic, including testing locations near you and lab-confirmed cases by county. https://coronavirus.delaware.gov/

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ISDH - Novel Coronavirus: Novel Coronavirus (COVID-19) Indiana's Novel Coronavirus Response. On March 6, 2020, the state Department of Health confirmed Indiana's first case of COVID-19, a novel respiratory virus ... https://www.coronavirus.in.gov/

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coronavirus | Keeping Utah Informed on the Latest Coronavirus ... The COVID-19 Business Manual is a step-by-step plan from the Utah Department of Health to protect your business and prevent the spread of COVID-19. Learn ... https://coronavirus.utah.gov/

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Coronavirus (COVID-19) Response | FEMA.gov Apr 16, 2021 ... Coronavirus (COVID-19) Response. In alignment with President Biden's COVID- 19 response plan, FEMA will work with the CDC and other ... https://www.fema.gov/disasters/coronavirus

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Coronavirus (COVID-19) | US EPA Disinfectants · Research · Indoor Air · Water · Multilingual Resources · COVID-19 News from EPA · Related Information · Federal Resources Related to Coronavirus ( ... https://www.epa.gov/coronavirus

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Coronavirus Disease 2019 (COVID-19) - Minnesota Dept. of Health Coronavirus Disease 2019 (COVID-19) · Testing · Where to get tested, types of tests, and what to expect. https://www.health.state.mn.us/diseases/coronavirus/

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Coronavirus | United Nations Coronaviruses (CoV) are a large family of viruses that cause illness ranging from the common cold to more severe diseases. Find out more about this novel ... https://www.un.org/en/coronavirus

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What Is Coronavirus? | Johns Hopkins Medicine Coronaviruses are a type of virus. There are many different kinds, and some cause disease. A coronavirus identified in 2019, SARS-CoV-2, has caused a ... https://www.hopkinsmedicine.org/health/conditions-and-diseases/coronavirus

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Coronavirus Disease (COVID-19) | SSA About Coronavirus Disease (COVID-19) and Social Security services and help during the pandemic. https://www.ssa.gov/coronavirus/

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Coronavirus | HUD.gov / U.S. Department of Housing and Urban ... The Centers for Disease Control and Prevention (CDC) offers the most up-to-date information on COVID-19. For updates from CDC, please visit the Coronavirus ... https://www.hud.gov/coronavirus

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tags:
     
    total nodes:  extend
    merged nodes:
    unmerge all
    copy to global
    Word Count Unique Lemmas Characters Lemmas Density
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    network diversity:
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    Network Structure Insights
      ?
    diversity:
    N/A
      stucture:
    N/A
    The higher is the diversity, the more distinct communities (topics) there are in this network, the more likely it will be pluralist.
    The network structure indicates the level of its diversity. It is based on the modularity measure (>0.4 for medium, >0.65 for high modularity, measured with Louvain (Blondel et al 2008) community detection algorithm) in combination with the measure of influence distribution (the entropy of the top nodes' distribution among the top clusters), as well as the the percentage of nodes in the top community.

    Modularity
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    Topics Nodes in Top Topic Components Nodes in Top Comp
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    Nodes Av Degree Density Weighed Betweenness
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    Degree Distribution:
      ?   switch to linear
    distribution (based on kolmogorov-smirnov test) ?
    narrative fractality: | alpha exponent: (based on Detrended Fluctuation Analysis of influence) ?
    Using this information, you can identify whether the network has scale-free / small-world (long-tail power law distribution) or random (normal, bell-shaped distribution) network properties.

    This may be important for understanding the level of resilience and the dynamics of propagation in this network. E.g. scale-free networks with long degree tails are more resilient against random attacks and will propagate information across the whole structure better.
    If a power-law is identified, the nodes have preferential attachment (e.g. 20% of nodes tend to get 80% of connections), and the network may be scale-free, which may indicate that it's more resilient and adaptive. Absence of power law may indicate a more equalized distribution of influence.

    Kolmogorov-Smirnov test compares the distribution above to the "ideal" power-law ones (^1, ^1.5, ^2) and looks for the best fit. If the value d is below the critical value cr it is a sign that the both distributions are similar.
    We plot the narrative as a time series of influence (using the words' betweenness score). We then apply detrended fluctuation analysis to identify the fractality of this time series (using alpha exponent, closely related to Hurst exponent): uniform (pulsating | alpha <= 0.65), regular (stationary, has long-term correlations | 0.65 < alpha <= 0.85), fractal (adaptive | 0.85 < alpha < 1.15), and complex (non-stationary | alpha >= 1.15).

    For maximal diversity and plurality, the narrative should be close to "fractal". For poetry — "complex". For ideological texts — "uniform".
    ×
             
    Main Topical Groups:

    N/A
    +     full stats   ?

    The topics are the nodes (words) that tend to co-occur together in the same context (next to each other).

    We use a combination of clustering and graph community detection algorithm (Blondel et al based on Louvain) to identify the groups of nodes are more densely connected together than with the rest of the network. They are aligned closer to each other on the graph and are given a distinct color.
    Most Influential Elements:
    N/A
    +     Reveal Non-obvious   ?

    We use the Jenks elbow cutoff algorithm to select the top prominent nodes that have significantly higher influence than the rest.

    Click the Reveal Non-obvious button to remove the most influential words (or the ones you select) from the graph, to see what terms are hiding behind them.

    The most influential nodes are either the ones with the highest betweenness centrality — appearing most often on the shortest path between any two randomly chosen nodes (i.e. linking the different distinct communities) — or the ones with the highest degree.
    Network Structure:
    N/A



    Reset Graph   Export: Show Options
    Action Advice:
    N/A
    Structural Gap
    (ask a research question that would link these two topics):
    N/A
    Reveal the Gap   ?
     
    A structural gap shows the two distinct communities (clusters of words) in this graph that are important, but not yet connected. That's where the new potential and innovative ideas may reside.

    This measure is based on a combination of the graph's connectivity and community structure, selecting the groups of nodes that would either make the graph more connected if it's too dispersed or that would help maintain diversity if it's too connected.

    Latent Topical Brokers
    :
    N/A
    ?

    These are the latent brokers between the topics: the nodes that have an unusually high rate of influence (betweenness centrality) to their freqency — meaning they may appear not as often as the most influential nodes but they are important narrative shifting points.

    These are usually brokers between different clusters / communities of nodes, playing not easily noticed and yet important role in this network, like the "grey cardinals" of sorts.

    Emerging Keywords
    N/A

    Evolution of Topics
    (frequency over time)

     
    Main Topics
    (according to Latent Dirichlet Allocation):
    loading...

    Most Influential Words
    (main topics and words according to LDA):
    loading...

    LDA works only for English-language texts at the moment. More support is coming soon, subscribe @noduslabs to be informed.

    Network Statistics:
    Show Overlapping Nodes Only

    ⤓ Download as CSV  ⤓ Download an Excel File

    Top Relations / Bigrams
    (both directions):

    ⤓ Download   ⤓ Directed Bigrams CSV   ?

    The most prominent relations between the nodes that exist in this graph are shown above. We treat the graph as undirected by default as it allows us to better detect general patterns.

    As an option, you can also downloaded directed bigrams above, in case the direction of the relations is important (for any application other than language).
    Please, enter a search query to visualize the difference between what people search for (related queries) and what they actually find (search results):

     
    We will build two graphs:
    1) Google search results for your query;
    2) Related searches for your query (Google's SERP);
    Click the Missing Content tab to see the graph that shows the difference between what people search for and what they actually find, indicating the content you could create to fulfil this gap.
    Find a market niche for a certain product, category, idea or service: what people are looking for but cannot yet find*

     
    We will build two graphs:
    1) the content that already exists when you make this search query (informational supply);
    2) what else people are searching for when they make this query (informational demand);
    You can then click the Niche tab to see the difference between the supply and the demand — what people need but do not yet find — the opportunity gap to fulfil.
    Please, enter your query to visualize the search results as a graph, so you can learn more about this topic:

     
       advanced settings    add data manually
    Enter a search query to analyze the Twitter discourse around this topic (last 7 days):

         advanced settings    add data manually

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